In developing our model architecture, we considered that, for many cardiac conditions, human interpretation of 12-lead ECG involves reviewing a subset of leads.
For instance expert clinical interpretation of Left Axis Deviation (LAD) is typically dependent on information from only three leads [1]}.
We therefore chose an architecture that provides flexibility to model the relative importance of each lead.
One such approach, the SE block developed by Hu et al. has been previously applied to image data [2]}.
Depicted in Fig. REF , we integrated the SE block to our ResB here for modeling the spatial relationship between the ECG channels.
First, global spatial information is squeezed into a channel descriptor \(\mathbf {z}\in \mathbb {R}^{C}\)  by global average pooling, where \(C\)  is the channel dimension.
To make use of the information in \(\mathbf {z}\) , a simple gating mechanism with a Sigmoid activation is used to obtain the rescaling parameter \(\mathbf {s}\in \mathbb {R}^{C}\) :
\(\mathbf {s}=\sigma (g(\mathbf {z},\mathbf {W}))=\sigma (\mathbf {W}_2\delta (\mathbf {W}_1 \mathbf {z}))),\) 
